I am a Computer Science Ph.D. Candidate at Brown University advised by Prof. Srinath Sridhar. My research revolves around understanding and manipulating objects in the 3D world for robot perception.

Previously, I was a Dual Degree student at Robotics Research Center (RRC), IIIT-H advised by Prof. Madhava Krishna. At RRC, my research focused on learning object-centric features that enable weak and unsupervised pose estimation for SLAM systems. I was also actively involved in developing the self-driving car perception stack at RRC.

News

• [Feb-2023]: I will serve as a reviewer for ICCV 2023.
• [Jan-2023]: I will serve as a reviewer for Neural Fields Workshop at ICLR 2023.
• [Jun-2022]: At CVPR 2022, we will be presenting a paper on 3D pose canonicalization (ConDor). Please see the ConDor project page for more details.
• More updates to come soon!

Publications

2024

• [P.9] Rahul Sajnani, Jeroen Vanbaar, Jie Min, Kapil Katyal, Srinath Sridhar. GeoDiffuser: Geometry-Based Image Editing with Diffusion Models. In Review. [project page] [paper]

2023

• [P.8] Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, Madhava Krishna, Srinath Sridhar. Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022). [project page] [paper] [code]
• [P.7] Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas Guibas. LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022). [project page] [paper] [code]

2022

• [P.6] AadilMehdi J Sanchawala*, Adhithya Arun*, Rahul Sajnani*, Rohan Chacko*, Kavita Vemuri. Exploring Empathy and a Range of Emotions Towards Protest Photographs. Proceedings of Cognitive Science Society, 2022. [paper]
• [P.5] Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar. ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022). [project page] [paper] [code]

2021

• [P.4] Rahul Sajnani*, AadilMehdi Sanchawala*, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna. DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. IEEE International Conference on Robotics and Automation (IEEE ICRA 2021)[project page] [paper] [code]
• [P.3] Swapnil Daga, Gokul B. Nair, Anirudha Ramesh, Rahul Sajnani, Junaid Ahmed Ansari, K. Madhava Krishna. BirdSLAM: Monocular Multibody SLAM in Bird’s-Eye View. International Conference on Computer Vision Theory and Applications (VISAPP 2021)

2020

• [P.2] AadilMehdi J Sanchawala*, Adhithya Arun*, Rahul Sajnani*, Kavita Vemuri. Unlocked: A Game On Human Trafficking. IEEE Conference on Games (IEEE CoG 2020) [nominated for best paper, featured in IIIT blog and Times of India]
• [P.1] Gokul B. Nair, Swapnil Daga, Rahul Sajnani, Anirudha Ramesh, Junaid Ahmed Ansari, Krishna Murthy Jatavallabhula, K. Madhava Krishna. Multi-object Monocular SLAM for Dynamic Environments. IEEE Intelligent Vehicles Symposium (IEEE IV 2020)